225 citations · 580 across the 19 of their papers we have counts for
6 papers · 1 filter
EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks
Ziyun Wang, Fernando Cladera Ojeda, Anthony Bisulco +6
Event-based sensors have recently drawn increasing interest in robotic perception due to their lower latency, higher dynamic range, and lower bandwidth requirements compared to sta…
TLIO: Tight Learned Inertial Odometry
Wenxin Liu, David Caruso, Eddy Ilg +5
In this work we propose a tightly-coupled Extended Kalman Filter framework for IMU-only state estimation. Strap-down IMU measurements provide relative state estimates based on IMU…
An Adversarial Objective for Scalable Exploration
Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni +1
Model-based curiosity combines active learning approaches to optimal sampling with the information gain based incentives for exploration presented in the curiosity literature. Exis…
TagSLAM: Robust SLAM with Fiducial Markers
Bernd Pfrommer, Kostas Daniilidis
TagSLAM provides a convenient, flexible, and robust way of performing Simultaneous Localization and Mapping (SLAM) with AprilTag fiducial markers. By leveraging a few simple abstra…
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception
Alex Zihao Zhu, Dinesh Thakur, Tolga Ozaslan +3
Event based cameras are a new passive sensing modality with a number of benefits over traditional cameras, including extremely low latency, asynchronous data acquisition, high dyna…
Fast, Autonomous Flight in GPS-Denied and Cluttered Environments
Kartik Mohta, Michael Watterson, Yash Mulgaonkar +14
One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little…